| 2025 | ICLR | LICORICE: Label-Efficient Concept-Based Interpretable Reinforcement Learning. | Zhuorui Ye, Stephanie Milani, Geoffrey J. Gordon, Fei Fang |
| 2025 | ICML | CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection. | Karish Grover, Geoffrey J. Gordon, Christos Faloutsos |
| 2024 | ICML | When is Transfer Learning Possible? | My Phan, Kiant Brantley, Stephanie Milani, Soroush Mehri, Gokul Swamy, Geoffrey J. Gordon |
| 2021 | AAAI | Successor Feature Sets: Generalizing Successor Representations Across Policies. | Kiant Brantley, Soroush Mehri, Geoffrey J. Gordon |
| 2021 | ICML | Understanding and Mitigating Accuracy Disparity in Regression. | Jianfeng Chi, Yuan Tian, Geoffrey J. Gordon, Han Zhao |
| 2021 | ICML | Information Obfuscation of Graph Neural Networks. | Peiyuan Liao, Han Zhao, Keyulu Xu, Tommi S. Jaakkola, Geoffrey J. Gordon, Stefanie Jegelka, Ruslan Salakhutdinov |
| 2021 | ICML | Decomposed Mutual Information Estimation for Contrastive Representation Learning. | Alessandro Sordoni, Nouha Dziri, Hannes Schulz, Geoffrey J. Gordon, Philip Bachman, Remi Tachet des Combes |
| 2020 | AAAI | Learning General Latent-Variable Graphical Models with Predictive Belief Propagation. | Borui Wang, Geoffrey J. Gordon |
| 2020 | AISTATS | Expressiveness and Learning of Hidden Quantum Markov Models. | Sandesh Adhikary, Siddarth Srinivasan, Geoffrey J. Gordon, Byron Boots |
| 2020 | AISTATS | A Reduction from Reinforcement Learning to No-Regret Online Learning. | Ching-An Cheng, Remi Tachet des Combes, Byron Boots, Geoffrey J. Gordon |
| 2020 | EMNLP | An Empirical Investigation of Beam-Aware Training in Supertagging. | Renato Negrinho, Matthew R. Gormley, Geoffrey J. Gordon |
| 2020 | ICLR | Conditional Learning of Fair Representations. | Han Zhao, Amanda Coston, Tameem Adel, Geoffrey J. Gordon |
| 2019 | ICLR | An Empirical Study of Example Forgetting during Deep Neural Network Learning. | Mariya Toneva, Alessandro Sordoni, Remi Tachet des Combes, Adam Trischler, Yoshua Bengio, Geoffrey J. Gordon |
| 2019 | ICML | On Learning Invariant Representations for Domain Adaptation. | Han Zhao, Remi Tachet des Combes, Kun Zhang, Geoffrey J. Gordon |
| 2019 | UAI | Efficient Multitask Feature and Relationship Learning. | Han Zhao, Otilia Stretcu, Alexander J. Smola, Geoffrey J. Gordon |
| 2018 | AAAI | An Efficient, Expressive and Local Minima-Free Method for Learning Controlled Dynamical Systems. | Ahmed Hefny, Carlton Downey, Geoffrey J. Gordon |
| 2018 | AISTATS | Learning Hidden Quantum Markov Models. | Siddarth Srinivasan, Geoffrey J. Gordon, Byron Boots |
| 2018 | ICLR | Multiple Source Domain Adaptation with Adversarial Learning. | Han Zhao, Shanghang Zhang, Guanhang Wu, Joo Paulo Costeira, Jos M. F. Moura, Geoffrey J. Gordon |
| 2018 | ICML | Recurrent Predictive State Policy Networks. | Ahmed Hefny, Zita Marinho, Wen Sun, Siddhartha S. Srinivasa, Geoffrey J. Gordon |
| 2018 | SIGMOD | Query-based Workload Forecasting for Self-Driving Database Management Systems. | Lin Ma, Dana Van Aken, Ahmed Hefny, Gustavo Mezerhane, Andrew Pavlo, Geoffrey J. Gordon |
| 2018 | UAI | Frank-Wolfe Optimization for Symmetric-NMF under Simplicial Constraint. | Han Zhao, Geoffrey J. Gordon |
| 2017 | ICML | Deeply AggreVaTeD: Differentiable Imitation Learning for Sequential Prediction. | Wen Sun, Arun Venkatraman, Geoffrey J. Gordon, Byron Boots, J. Andrew Bagnell |
| 2017 | SIGMOD | Automatic Database Management System Tuning Through Large-scale Machine Learning. | Dana Van Aken, Andrew Pavlo, Geoffrey J. Gordon, Bohan Zhang |
| 2016 | ICML | Collapsed Variational Inference for Sum-Product Networks. | Han Zhao, Tameem Adel, Geoffrey J. Gordon, Brandon Amos |
| 2016 | UAI | Learning to Smooth with Bidirectional Predictive State Inference Machines. | Wen Sun, Roberto Capobianco, Geoffrey J. Gordon, J. Andrew Bagnell, Byron Boots |
| 2013 | AIED | Individualized Bayesian Knowledge Tracing Models. | Michael Yudelson, Kenneth R. Koedinger, Geoffrey J. Gordon |
| 2013 | EDM | A Spectral Learning Approach to Knowledge Tracing. | Mohammad Hassan Falakmasir, Zachary A. Pardos, Geoffrey J. Gordon, Peter Brusilovsky |
| 2013 | ICML | A Spectral Learning Approach to Range-Only SLAM. | Byron Boots, Geoffrey J. Gordon |
| 2013 | IJCAI | A Generalization of SAT and #SAT for Robust Policy Evaluation. | Erik Peter Zawadzki, Andr Platzer, Geoffrey J. Gordon |
| 2013 | UAI | Hilbert Space Embeddings of Predictive State Representations. | Byron Boots, Geoffrey J. Gordon, Arthur Gretton |
| 2012 | AAAI | Decision Support for Agent Populations in Uncertain and Congested Environments. | Pradeep Varakantham, Shih-Fen Cheng, Geoffrey J. Gordon, Asrar Ahmed |
| 2012 | AAMAS | Lagrangian relaxation for large-scale multi-agent planning. | Geoffrey J. Gordon, Pradeep Varakantham, William Yeoh, Hoong Chuin Lau, Ajay S. Aravamudhan, Shih-Fen Cheng |
| 2012 | ICML | Two Manifold Problems with Applications to Nonlinear System Identification. | Byron Boots, Geoffrey J. Gordon |
| 2011 | AAAI | An Online Spectral Learning Algorithm for Partially Observable Nonlinear Dynamical Systems. | Byron Boots, Geoffrey J. Gordon |
| 2011 | EDM | Instructional Factors Analysis: A Cognitive Model For Multiple Instructional Interventions. | Min Chi, Kenneth R. Koedinger, Geoffrey J. Gordon, Pamela W. Jordan, Kurt VanLehn |
| 2011 | ISRR | Learning from Experience in Manipulation Planning: Setting the Right Goals. | Anca D. Dragan, Geoffrey J. Gordon, Siddhartha S. Srinivasa |
| 2010 | ICASSP | Automatic state discovery for unstructured audio scene classification. | Julian Ramos, Sajid M. Siddiqi, Artur Dubrawski, Geoffrey J. Gordon, Abhishek Sharma |
| 2010 | ICML | Hilbert Space Embeddings of Hidden Markov Models. | Le Song, Byron Boots, Sajid M. Siddiqi, Geoffrey J. Gordon, Alexander J. Smola |
| 2010 | UAI | A Bayesian Matrix Factorization Model for Relational Data. | Ajit Paul Singh, Geoffrey J. Gordon |
| 2009 | UAI | A Sampling-Based Approach to Computing Equilibria in Succinct Extensive-Form Games. | Miroslav Dudk, Geoffrey J. Gordon |
| 2009 | UAI | First-Order Mixed Integer Linear Programming. | Geoffrey J. Gordon, Sue Ann Hong, Miroslav Dudk |
| 2008 | AAAI | RADAR: A Personal Assistant that Learns to Reduce Email Overload. | Michael Freed, Jaime G. Carbonell, Geoffrey J. Gordon, Jordan Hayes, Brad A. Myers, Daniel P. Siewiorek, Stephen F. Smith, Aaron Steinfeld, Anthony Tomasic |
| 2008 | ICML | No-regret learning in convex games. | Geoffrey J. Gordon, Amy Greenwald, Casey Marks |
| 2008 | ICML | Closed-form supervised dimensionality reduction with generalized linear models. | Irina Rish, Genady Grabarnik, Guillermo A. Cecchi, Francisco Pereira, Geoffrey J. Gordon |
| 2008 | KDD | Relational learning via collective matrix factorization. | Ajit Paul Singh, Geoffrey J. Gordon |
| 2007 | AAAI | A Unification of Extensive-Form Games and Markov Decision Processes. | H. Brendan McMahan, Geoffrey J. Gordon |
| 2007 | ICRA | Adaptive Sampling for Multi-Robot Wide-Area Exploration. | Kian Hsiang Low, Geoffrey J. Gordon, John M. Dolan, Pradeep K. Khosla |
| 2007 | IROS | A scalable distributed algorithm for shape transformation in multi-robot systems. | Ramprasad Ravichandran, Geoffrey J. Gordon, Seth Copen Goldstein |
| 2007 | ISMB | Automated image analysis of protein localization in budding yeast. | Shann-Ching Chen, Ting Zhao, Geoffrey J. Gordon, Robert F. Murphy |
| 2006 | CIBCB | A Novel Graphical Model Approach to Segmenting Cell Images. | Shann-Ching Chen, Ting Zhao, Geoffrey J. Gordon, Robert F. Murphy |
| 2006 | ICML | The support vector decomposition machine. | Francisco Pereira, Geoffrey J. Gordon |
| 2006 | ICML | Approximate Kalman Filters for Embedding Author-Word Co-occurrence Data over Time. | Purnamrita Sarkar, Sajid M. Siddiqi, Geoffrey J. Gordon |
| 2005 | ICML | Bounded real-time dynamic programming: RTDP with monotone upper bounds and performance guarantees. | H. Brendan McMahan, Maxim Likhachev, Geoffrey J. Gordon |
| 2005 | ICRA | Game Theoretic Control for Robot Teams. | Rosemary Emery-Montemerlo, Geoffrey J. Gordon, Jeff G. Schneider, Sebastian Thrun |
| 2005 | ISRR | POMDP Planning for Robust Robot Control. | Joelle Pineau, Geoffrey J. Gordon |
| 2004 | AAAI | Visibility-Based Pursuit-Evasion with Limited Field of View. | Brian P. Gerkey, Sebastian Thrun, Geoffrey J. Gordon |
| 2004 | ICML | Learning low dimensional predictive representations. | Matthew Rosencrantz, Geoffrey J. Gordon, Sebastian Thrun |
| 2003 | ICML | Planning in the Presence of Cost Functions Controlled by an Adversary. | H. Brendan McMahan, Geoffrey J. Gordon, Avrim Blum |
| 2003 | IJCAI | Point-based value iteration: An anytime algorithm for POMDPs. | Joelle Pineau, Geoffrey J. Gordon, Sebastian Thrun |
| 2003 | IJCAI | A Learning Algorithm for Localizing People Based on Wireless Signal Strength that Uses Labeled and Unlabeled Data. | Sebastian Thrun, Geoffrey J. Gordon, Frank Pfenning, Mary Berna, Brennan Sellner, Brad Lisien |
| 2003 | UAI | Policy-contingent abstraction for robust robot control. | Joelle Pineau, Geoffrey J. Gordon, Sebastian Thrun |
| 2003 | UAI | Decentralized Sensor Fusion with Distributed Particle Filters. | Matthew Rosencrantz, Geoffrey J. Gordon, Sebastian Thrun |
| 2002 | UAI | Distributed Planning in Hierarchical Factored MDPs. | Carlos Guestrin, Geoffrey J. Gordon |
| 2000 | ICML | Learning Filaments. | Geoffrey J. Gordon, Andrew W. Moore |
| 1999 | COLT | Regret Bounds for Prediction Problems. | Geoffrey J. Gordon |
| 1996 | ICML | Nonparametric Statistical Methods for Experimental Evaluations of Speedup Learning. | Geoffrey J. Gordon, Alberto Maria Segre |
| 1995 | ICML | Stable Function Approximation in Dynamic Programming. | Geoffrey J. Gordon |